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Artificial intelligence and its implications for data privacy.

Kelly D Martin1, Johanna Zimmermann2

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This review explores how artificial intelligence (AI) impacts data privacy decision-making. Understanding AI

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Area of Science:

  • Multidisciplinary research at the intersection of artificial intelligence (AI) and data privacy.

Background:

  • Contemporary research highlights the complex data privacy implications of artificial intelligence (AI).
  • Existing privacy decision-making frameworks need to account for AI's unique characteristics.

Purpose of the Study:

  • To review the data privacy implications of AI through an AI ecosystem perspective.
  • To propose a process-outcome continuum for classifying AI technologies and understanding their effect on privacy decision-making.

Main Methods:

  • Adopting an AI ecosystem perspective to classify AI technologies.
  • Analyzing how different AI types influence established privacy decision-making frameworks (privacy calculus, psychological ownership, social influence).

Main Results:

  • AI technologies, classified by their process- or outcome-orientation, uniquely affect privacy decision-making.
  • AI presents both benefits and challenges to data privacy.

Conclusions:

  • A nuanced understanding of AI's effect on privacy decision-making is crucial.
  • Further research is needed at the intersection of AI and privacy to promote an ethical and sustainable society.